April 16th, 2023 | RESEARCH
In this paper we investigate how people become engaged with open data, what their motivations are, and the barriers and facilitators program participants perceive with regard to using open data effectively. We interview participants from a variety of backgrounds with differing levels of experience and engagement with open data. Participants include students learning how to train others in open data techniques and tools; people who attend open data events and use open data for commercial or social benefit; and representatives from local government, municipal agencies and a civic tech non-profit. We identify pathways to successfully developing and nurturing a community of open data intermediaries, and make five recommendations for organizations planning and managing open data programs.
Document
https://doi.org/10.1145/3579511
Team Members
Jack Shanley, Author, New York UniversityCamillia Matuk, Author, New York University
Oded Nov, Author, New York University
Graham Dove, Author, New York University
Citation
Identifier Type: DOI
Identifier: 10.1145/3579511
Publication: Proceedings of the ACM on Human-Computer Interaction
Volume: 7
Number: CSCW1
Page(s): 1-22
Funders
Funding Source: NSF
Funding Program: Advancing Informal STEM Learning (AISL)
Award Number: 2005890
Funding Amount: $300,000
Related URLs
Learning Data Science Through Civic Engagement With Open Data
Tags
Access and Inclusion: Urban
Audience: Administration | Leadership | Policymakers | Evaluators | Learning Researchers | Scientists | Undergraduate | Graduate Students
Discipline: Computing and information science | Technology
Resource Type: Peer-reviewed article
Environment Type: Informal | Formal Connections | Library Programs | Public Events and Festivals | Resource Centers and Networks | Websites | Mobile Apps | Online Media